71 parallel-computing-numerical-methods Postdoctoral positions at University of Minnesota
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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development of immunomodulatory inhibitors as drug leads, target validation and assay development for novel chemotherapeutics, method development for Cryo-EM, and mechanistic studies of signal transduction in
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enthusiasm for learning. Preferred Qualifications: • Predoctoral or postdoctoral research experience using one or more of the following methods: immunoblotting, flow cytometry, mouse models of cancer
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which unresolved questions to study Deciding on the appropriate theoretical methods to use to answer these questions Deriving or extending these methods as needed Evaluating the results for consistency
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leverages the novel single-asperity nanoscratch method and other advanced AFM modes to visualize the mechanism of nanoplastic release and to identify unique nanoscale properties that result in health impacts
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results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: PhD in Statistics, Biostatistics, Computer Science, Electrical
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) quantitative methods; (4) qualitative or mixed-methods; (5) community-engaged research methodologies; (6) program or policy evaluation; and/or (7) implementation and dissemination. Ample opportunities exist
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immigrant populations. Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD
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%) Code in Matlab or other program for stimulus generation, presentation, and analysis, as well as data analysis. (25%) Prepare data for publication and presentation via peer-reviewed journal articles and
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to join our research program focused on Epstein-Barr virus (EBV) oncology. The ideal candidate will investigate the complex landscape of virus-host interactions, specifically utilizing mass spectrometry